Weighted multiplicity adjustments for animal carcinogenicity tests

Journal of Biopharmaceutical Statistics
P H Westfall, K A Soper

Abstract

Sparse data is a difficulty in the analysis of animal carcinogenicity data: it is difficult to detect effects when the background tumor rates are low. The widely used "Haseman rule" and its variants provide more power to tests with low background rates, while maintaining a degree of control over the global false positive rate. In this article we explore the use of these rules, finding global error rates that are unacceptably high for many animal carcinogenicity studies. We provide alternative weighting methods that correct the deficiencies of the Haseman rule, and apply them to carcinogenicity data from a pharmaceutical company.

References

Nov 1, 1990·Fundamental and Applied Toxicology : Official Journal of the Society of Toxicology·D Farrar, K Crump
Jul 1, 1983·Fundamental and Applied Toxicology : Official Journal of the Society of Toxicology·J K Haseman

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Citations

Jan 1, 2011·Journal of Nonparametric Statistics·Joshua D Habiger, Edsel A Peña
Feb 18, 2016·Journal of Biopharmaceutical Statistics·M Große RuseL A Hothorn
Sep 6, 2005·Biological Psychiatry·Anne-Marie Donovan-LeporeStefanie M Berns
Apr 25, 2015·Regulatory Toxicology and Pharmacology : RTP·Matthew T Jackson
Jan 10, 2012·Progress in Cardiovascular Diseases·Lemuel A Moyé
Jan 2, 2007·Journal of Affective Disorders·Angelika ErhardtFlorian Holsboer
Aug 21, 2019·Computer Methods in Biomechanics and Biomedical Engineering·Andrej MoličnikDrago Dolinar

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